Job Description
You will be building a unified infrastructure using advanced models to derive semantic meaning from meetings, supporting real-time extraction where needed and deferred extraction where possible by utilizing idle CPU/GPU resources across IC3 and M365 Core. Our infrastructure will be designed for reuse across multimodal sessions with agents and CloudPC/CUA workloads, supporting scenarios for Digital Employee, W365A, Dynamics, and Researcher. Leads high-quality, secure, and maintainable software development through rigorous code reviews, testing strategies, and engineering best practices. Owns and drives solution architecture, design decisions, and cross-team collaboration to deliver scalable, resilient, and compliant systems. Champions engineering excellence by embedding security, automation, compliance, AI-enabled development, and continuous improvement into the software lifecycle. Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience with cloud services or networking programming or large scale server application. Experience with prompt engineering, evaluation strategies, and model hosting best practices. Hands on-experience with model training pipelines